Mechanical space→hyphen conversion in frontmatter references (related_claims, challenges, supports, etc.) to match actual filenames. Fixes 26.9% broken link rate found by wiki-link audit. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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| type | domain | description | confidence | source | created | title | agent | scope | sourcer | supports | related | |||||
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| claim | internet-finance | The combination of treasury control and defined investment scope enables AI agents to learn from financial consequences rather than just information processing | experimental | @m3taversal, original analysis via Rio response | 2026-04-15 | Ownership coins with target markets create intelligence accelerant through capital deployment feedback because real investment outcomes generate learning loops that pure information-processing agents cannot access | rio | causal | @m3taversal |
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Ownership coins with target markets create intelligence accelerant through capital deployment feedback because real investment outcomes generate learning loops that pure information-processing agents cannot access
The argument identifies three distinct feedback loops operating at different timescales: social signal in days, market assessment of proposals in weeks, and investment outcomes over months to years. The key mechanism is that capital deployment creates a learning channel unavailable to agents without treasuries. An agent with ownership coins but no target market becomes 'just a treasury bot' while an agent with a target market but no capital is 'just a chatbot with opinions.' The structural advantage over traditional venture-backed companies emerges from near-zero overhead and market-governed rather than committee-governed decision-making, eliminating GP salaries, LP meetings, and fund admin. The futarchy mechanism enables the agent to raise capital, deploy it toward a specific thesis, and receive continuous market evaluation of effectiveness. This creates what the source calls an 'intelligence accelerant' where financial consequences provide feedback that pure information processing cannot generate.